PaddleScience Presents Geometry-Informed Neural Operator Model for Aerodynamic Drag Prediction at 2024 CAE Aerodynamics Branch Academic Annual Meeting
At the 2024 CAE Aerodynamics Branch Academic Annual Meeting, PaddleScience unveiled a geometry‑informed neural operator model that predicts automotive drag with 2.1% average error, runs three orders of magnitude faster than full CFD, earned an Outstanding Paper Award, and showcases the toolkit’s AI‑driven workflow for rapid vehicle‑shape optimization.